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Devanshu Agrawal
Devanshu Agrawal
Postdoctoral Research Associate, University of Tennessee, Knoxville
Verified email at vols.utk.edu
Title
Cited by
Cited by
Year
Wide neural networks with bottlenecks are deep Gaussian processes
D Agrawal, T Papamarkou, J Hinkle
Journal of Machine Learning Research 21 (175), 1-66, 2020
312020
The mechanisms of water exchange: the regulatory roles of multiple interactions in social wasps
D Agrawal, I Karsai
PLoS One 11 (1), e0145560, 2016
112016
A Classification of -invariant Shallow Neural Networks
D Agrawal, J Ostrowski
Advances in Neural Information Processing Systems 35, 13679-13690, 2022
62022
Fiber bundles and Parseval frames
D Agrawal, J Knisley
arXiv preprint arXiv:1512.03989, 2015
52015
The complete structure of linear and nonlinear deformations of frames on a Hilbert space
D Agrawal
East Tennessee State University, 2016
42016
Group-equivariant autoencoder for identifying spontaneously broken symmetries
D Agrawal, A Del Maestro, S Johnston, J Ostrowski
Physical Review E 107 (5), 054104, 2023
22023
Nonparametric Bayesian Deep Learning for Scientific Data Analysis
D Agrawal
12020
Computer-aided detection using non-convolutional neural network Gaussian processes
D Agrawal, HJ Yoon, G Tourassi, JD Hinkle
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 915-923, 2019
12019
Can't Remember Details in Long Documents? You Need Some R&R
D Agrawal, S Gao, M Gajek
arXiv preprint arXiv:2403.05004, 2024
2024
Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations
D Agrawal, J Ostrowski
Journal of Machine Learning Research 24 (370), 1-40, 2023
2023
Deep Ensemble Kernel Learning
D Agrawal, JD Hinkle
2020
CAFCW 104 Deep Kernel Learning for Information Extraction from Cancer Pathology Reports
D Agrawal, A Dubey, G Tourassi, J Hinkle
2019
Deep kernel learning for information extraction from cancer pathology reports
D Agrawal, AK Dubey, G Tourassi, J Hinkle
2019
A Numerical Model for Nonadiabatic Transitions in Molecules
D Agrawal
2014
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Articles 1–14